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Record W4401084530 · doi:10.1037/tra0001748

Inpatient outcomes following admission to stabilization-focused complex trauma- and dissociation-specific unit.

2024· article· en· W4401084530 on OpenAlexaff
Charles A Benincasa, Seini O’Connor, Nicholas A. Pierorazio, Sarah Wentling, Bethany L. Brand, Benjamin S. Israel, Hygge J. Schielke

Bibliographic record

VenuePsychological Trauma Theory Research Practice and Policy · 2024
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsHomewood Research Institute
Fundersnot available
KeywordsDissociativeDissociation (chemistry)Dissociative disordersWarrantPsycINFOClinical psychologyPsychologyMedicinePsychiatryMEDLINE

Abstract

fetched live from OpenAlex

OBJECTIVE: Individuals with histories of complex psychological trauma, such as those with dissociative disorders, are often high utilizers of inpatient services and thus warrant further research attention. The present study sought to examine whether treatment on a specialized inpatient trauma unit was associated with improvements in adaptive functioning, emotion regulation, and dissociation among patients experiencing complex posttraumatic and dissociative symptoms. METHOD: = 54), the majority of whom had a dissociative disorder, at a specialized trauma disorders unit to analyze differences in scores between intake and discharge on measures of adaptive functioning, emotion regulation, and dissociation. RESULTS: = .30, in dissociative absorption. CONCLUSIONS: Our findings suggest that inpatient treatment modeled after expert consensus treatment guidelines is associated with significant improvements in adaptive functioning and emotion regulation and reduced dissociative absorption in individuals experiencing severe and acute complex posttraumatic and dissociative symptoms. Appropriate screening and symptom-specific treatment of complex posttraumatic and dissociative symptoms are recommended to improve outcomes for this population during inpatient hospital admission. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.756
Threshold uncertainty score0.587

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.230
GPT teacher head0.513
Teacher spread0.283 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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